grant

A multilevel intervention to personalize and improve tobacco treatment in primary care

Organization WASHINGTON UNIVERSITYLocation SAINT LOUIS, UNITED STATESPosted 1 Aug 2022Deadline 30 Jun 2027
NIHUS FederalResearch GrantFY2025AddressAdoptionAssess implementationBehaviorBehavioral MechanismsBenefits and RisksBiochemicalBiologicalBiological MarkersCancersCessation of lifeClinicCommunicationDataDeathDrug PrescribingDrug PrescriptionsDrugsEffectivenessElectronic Health RecordEvidence based treatmentExpectancyFeedbackFutureGenesGeneticGenetic MarkersGenetic RiskGenomic medicineGenomicsGenotypeHealthHealth Care SystemsHealth InformaticsImplementation assessmentIndividualIntermediary MetabolismInterventionLinkMalignant NeoplasmsMalignant TumorMeasuresMechanisms of Behavior and Behavior ChangeMedicationMetabolicMetabolic MarkerMetabolic ProcessesMetabolismModelingMotivationNicotineNicotine Replacement TherapyNicotinic Acetylcholine ReceptorsNicotinic ReceptorsOutcomePatient CompliancePatientsPharmaceutical PreparationsPhysiciansPopulationPractice GuidelinesPrecision therapeuticsPrimary CareProviderPublic Health InformaticsRE-AIMRandomizedRandomized, Controlled TrialsReach, Effectiveness, Adoption, Implementation, and MaintenanceRecommendationResearchRiskSafetySmokeSmokerSmokingTestingTheoretical Domains frameworkTheory of ChangeTobaccoTranslatingTreatment EffectivenessVariantVariationWithdrawalWorkarmbehavior changebehavior mechanismbio-markersbiologicbiologic markerbiomarkercare as usualcease smokingclinical practiceconsumer informaticscostdrug/agentelectronic health care recordelectronic health medical recordelectronic health plan recordelectronic health registryelectronic medical health recordevaluate implementationevaluation of implementationevidence basegene biomarkergene expression biomarkergene markergene signature biomarkergenetic biomarkergenome medicineimplementation effortsimplementation evaluationimplementation outcomesimprovedinnovateinnovationinnovativeinterestmalignancymedication prescriptionneoplasm/cancernew approachesnicotine replacementnovel approachesnovel strategiesnovel strategypatient adherencepatient cooperationpersonalized health interventionpersonalized interventionprecision interventionsprecision medicineprecision therapiesprecision treatmentprecision-based medicineprematureprematurityprescribed medicationquit smokingrandomisationrandomizationrandomized control trialrandomly assignedreach, efficacy, adoption, implementation, and maintenancereal world evidencereceptor functionresponse to therapyresponse to treatmentsecondary outcomesmoking abstinencesmoking cessationstandard carestandard treatmentstop smokingsuccesstherapeutic responsetherapy optimizationtherapy responsetooltreatment as usualtreatment optimizationtreatment responsetreatment responsivenessuptakeusual carevarenicline
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Full Description

PROJECT SUMMARY/ABSTRACT
Current tobacco treatment is limited by physicians infrequently prescribing cessation medication (<20%),

patients infrequently using cessation medication (~33%), and limited medication effectiveness (<30%). A

multilevel intervention to personalize tobacco treatment, based on substantial data linking genetically informed

markers to treatment response, has the potential to address these critical gaps by addressing multiple targets

in the cascade of treatment success. First, precision treatment may increase treatment effectiveness by

matching the smoker with the medication that maximizes efficacy and safety. Second, it may increase

physicians’ likelihood of prescribing because they expect precision treatment to be more effective than

standard treatment. Third, precision medicine may increase patients’ motivation to initiate and adhere to

cessation medication, as evidence suggests that smokers express desire for gene-guided treatment and

increased motivation to use it adherently. Emerging evidence including a recent Cochrane review and our

research suggests that patients’ ability to quit smoking and respond to cessation medication are associated

with multiple biomarkers involved in nicotine metabolism (i.e., nicotine metabolite ratio, NMR) and nicotinic

receptor function (i.e., genotype of CHRNA5 variant rs16969968). Evaluating precision treatment based on

multiple markers in a multilevel intervention using behavior change theories will advance the field of tobacco

treatment. Our preliminary work demonstrated: 1) promise of using both genetic and metabolic markers in

guiding treatment, 2) high interest in gene-guided treatment and its potential for enhancing medication use

among smokers, 3) higher motivation for smoking cessation with use of genetic risk communication feedback

tools, and 4) successful use of health informatics to implement a multilevel tobacco intervention in clinic

settings. The proposed study aims to test a multilevel intervention precision treatment intervention using both

genetic and metabolic markers, directed at physicians and patients, to increase the uptake and effectiveness of

tobacco treatment in primary care. We propose a 2-arm cluster randomized controlled trial of 40 physicians

and 800 patients who smoke randomized to usual care (UC) vs. precision treatment (PT) based on NMR and

genetics in primary care. We hypothesize that PT will enhance cessation success via increased physician

prescription of medication, patient adherence, and treatment effectiveness. In Aims 1 and 2, we will test the

impact of PT on physician prescribing, patient use of medication, and patient smoking abstinence. In Aim 3, we

will evaluate mechanisms of behavior change and implementation outcomes. The study reflects a significant

and innovative paradigm shift from a traditional treatment model to precision treatment that includes both

metabolic and genetic markers to motivate and guide tobacco treatment for both physicians and patients,

integrated within primary care.

Grant Number: 5R01DA056050-04
NIH Institute/Center: NIH

Principal Investigator: Li-Shiun Chen

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